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» Compiling Bayesian Networks Using Variable Elimination
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JMLR
2008
120views more  JMLR 2008»
13 years 7 months ago
Causal Reasoning with Ancestral Graphs
Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are often interested in predicting the probability distr...
Jiji Zhang
PAMI
2011
13 years 2 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
PPOPP
1995
ACM
13 years 11 months ago
Optimistic Active Messages: A Mechanism for Scheduling Communication with Computation
Low-overhead message passing is critical to the performance of many applications. Active Messages[27] reduce the software overhead for message handling: messages are run as handle...
Deborah A. Wallach, Wilson C. Hsieh, Kirk L. Johns...
CVPR
2008
IEEE
14 years 9 months ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...